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ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Land, Livelihoods and Food Security
Volume 9 - 2025 |
doi: 10.3389/fsufs.2025.1529750
Analysis of the Influence Factors of Cultivated Land Transfer in Guangdong Coastal Important Agricultural Areas Based on Geodetectors
Provisionally accepted
Zhaogang Fu 1*
Qingyi Xue 2*- 1 Lingnan Normal University, Zhanjiang, China
- 2 Jilin University, Changchun, Hebei Province, China
Introductions: As a key link in the development of modern agriculture, the transfer of arable land is regarded as a strategic measure to improve agricultural production efficiency and ensure national food security. Although the transfer of arable land has been widely implemented nationwide, its specific impact on agricultural production and farmers' income varies in different regions. The analysis of regional differences in agricultural land transfer in existing literature is still insufficient. Methods: This study is based on data from important agricultural areas along the coast of Guangdong Province in 2013, 2018, and 2023, and uses stepwise regression models and geodetectors to analyze the factors affecting spatial differentiation of agricultural land transfer. Result: Cultivated land transfer in Zhanjiang, Maoming, and Yangjiang cities exhibits distinct spatial distribution characteristics, forming a gradient pattern that increases from east to west.. In single-factor analysis, factors such as irrigation conditions, agricultural output value, urbanization level, electricity supply, and centralized water supply projects have a particularly prominent impact on farmland transfer. Multi-factor interaction analysis reveals that centralized water supply projects, agricultural film usage, urbanization rate, agricultural GDP, and irrigation area have a significant impact on farmland transfer. Discussion: This study suggests that the spatial differentiation of agricultural land transfer is the result of the interaction between production characteristics, economic characteristics, population characteristics, and input characteristics. Next, it is necessary to further improve data collection, optimize research methods, and comprehensively consider more factors that may affect cultivated land transfer.
Keywords: Geodetector, Guangdong Coastal Important Agricultural Areas, Land transfer, Stepwise Regression Model, Spatial differentiation
Received: 17 Nov 2024; Accepted: 27 Jan 2025.
Copyright: © 2025 Fu and Xue. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Zhaogang Fu, Lingnan Normal University, Zhanjiang, China
Qingyi Xue, Jilin University, Changchun, 130012, Hebei Province, China
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